{"id":"https://openalex.org/W4221030291","doi":"https://doi.org/10.1109/sii52469.2022.9708864","title":"Camera Attitude Estimation by Neural Network Using Classification Network Method Instead of Numerical Regression","display_name":"Camera Attitude Estimation by Neural Network Using Classification Network Method Instead of Numerical Regression","publication_year":2022,"publication_date":"2022-01-09","ids":{"openalex":"https://openalex.org/W4221030291","doi":"https://doi.org/10.1109/sii52469.2022.9708864"},"language":"en","primary_location":{"id":"doi:10.1109/sii52469.2022.9708864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii52469.2022.9708864","pdf_url":null,"source":{"id":"https://openalex.org/S4363605592","display_name":"2022 IEEE/SICE International Symposium on System Integration (SII)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/SICE International Symposium on System Integration (SII)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073638921","display_name":"Hibiki Kawai","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hibiki Kawai","raw_affiliation_strings":["Meiji University,School of Science and Technology,Department of Mechanical Engineering,Kawasaki City,Kanagawa Prefecture,Japan"],"affiliations":[{"raw_affiliation_string":"Meiji University,School of Science and Technology,Department of Mechanical Engineering,Kawasaki City,Kanagawa Prefecture,Japan","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055088371","display_name":"Wataru Yoshiuchi","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wataru Yoshiuchi","raw_affiliation_strings":["Meiji University,School of Science and Technology,Department of Mechanical Engineering,Kawasaki City,Kanagawa Prefecture,Japan"],"affiliations":[{"raw_affiliation_string":"Meiji University,School of Science and Technology,Department of Mechanical Engineering,Kawasaki City,Kanagawa Prefecture,Japan","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071315001","display_name":"Yasunori Hirakawa","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasunori Hirakawa","raw_affiliation_strings":["Meiji University,School of Science and Technology,Department of Mechanical Engineering,Kawasaki City,Kanagawa Prefecture,Japan"],"affiliations":[{"raw_affiliation_string":"Meiji University,School of Science and Technology,Department of Mechanical Engineering,Kawasaki City,Kanagawa Prefecture,Japan","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046268988","display_name":"Takumi Shibuya","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takumi Shibuya","raw_affiliation_strings":["Meiji University,School of Science and Technology,Department of Mechanical Engineering,Kawasaki City,Kanagawa Prefecture,Japan"],"affiliations":[{"raw_affiliation_string":"Meiji University,School of Science and Technology,Department of Mechanical Engineering,Kawasaki City,Kanagawa Prefecture,Japan","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075687226","display_name":"Takumi Matsuda","orcid":"https://orcid.org/0000-0002-5932-5315"},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takumi Matsuda","raw_affiliation_strings":["Meiji University,School of Science and Technology,Department of Mechanical Engineering,Kawasaki City,Kanagawa Prefecture,Japan"],"affiliations":[{"raw_affiliation_string":"Meiji University,School of Science and Technology,Department of Mechanical Engineering,Kawasaki City,Kanagawa Prefecture,Japan","institution_ids":["https://openalex.org/I16656306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110500378","display_name":"Yoji KURODA","orcid":null},"institutions":[{"id":"https://openalex.org/I16656306","display_name":"Meiji University","ror":"https://ror.org/02rqvrp93","country_code":"JP","type":"education","lineage":["https://openalex.org/I16656306"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoji Kuroda","raw_affiliation_strings":["Meiji University,School of Science and Technology,Department of Mechanical Engineering,Kawasaki City,Kanagawa Prefecture,Japan"],"affiliations":[{"raw_affiliation_string":"Meiji University,School of Science and Technology,Department of Mechanical Engineering,Kawasaki City,Kanagawa Prefecture,Japan","institution_ids":["https://openalex.org/I16656306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5073638921"],"corresponding_institution_ids":["https://openalex.org/I16656306"],"apc_list":null,"apc_paid":null,"fwci":1.111,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7460139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"31","issue":null,"first_page":"401","last_page":"407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8173191547393799},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7347902059555054},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6660677790641785},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6041302680969238},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5792319178581238},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5741727948188782},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5329011082649231},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5157466530799866},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.483825147151947},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.47671622037887573},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.45713815093040466},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.44155967235565186},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4286390542984009},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37031033635139465},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3505759835243225},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23952600359916687},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10068649053573608}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8173191547393799},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7347902059555054},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6660677790641785},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6041302680969238},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5792319178581238},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5741727948188782},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5329011082649231},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5157466530799866},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.483825147151947},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.47671622037887573},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.45713815093040466},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.44155967235565186},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4286390542984009},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37031033635139465},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3505759835243225},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23952600359916687},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10068649053573608},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sii52469.2022.9708864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii52469.2022.9708864","pdf_url":null,"source":{"id":"https://openalex.org/S4363605592","display_name":"2022 IEEE/SICE International Symposium on System Integration (SII)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/SICE International Symposium on System Integration (SII)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.6299999952316284,"display_name":"No poverty"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337495","display_name":"Technology Development","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W582134693","https://openalex.org/W1567242735","https://openalex.org/W1612997784","https://openalex.org/W1686810756","https://openalex.org/W1922126009","https://openalex.org/W2088061407","https://openalex.org/W2117228865","https://openalex.org/W2128140121","https://openalex.org/W2336416123","https://openalex.org/W2615547864","https://openalex.org/W2751269333","https://openalex.org/W2792643794","https://openalex.org/W2902986194","https://openalex.org/W3004377989","https://openalex.org/W3012148654","https://openalex.org/W3141325614","https://openalex.org/W3164877294","https://openalex.org/W3195773925","https://openalex.org/W4287083725"],"related_works":["https://openalex.org/W1973973903","https://openalex.org/W4287084017","https://openalex.org/W3208523813","https://openalex.org/W3195533899","https://openalex.org/W3179745820","https://openalex.org/W2537790823","https://openalex.org/W2594666386","https://openalex.org/W2545638156","https://openalex.org/W2359095091","https://openalex.org/W2000754062"],"abstract_inverted_index":{"In":[0,117],"this":[1,121,123],"paper,":[2],"we":[3],"propose":[4],"a":[5,13,126],"method":[6],"for":[7],"estimating":[8,37],"the":[9,19,38,52,59,63,66,93,96,132,143],"camera":[10,78,108],"pose":[11,99,144],"using":[12,45,74,101],"classification":[14,127],"neural":[15,128],"network":[16,129],"based":[17,130],"on":[18,131],"idea":[20,133],"of":[21,40,54,65,98,134],"OCR.":[22],"Some":[23],"terrestrial":[24],"robots":[25],"can":[26,137],"exhibit":[27],"high":[28,139],"maneuverability":[29],"by":[30,58,62,104],"freely":[31],"tilting":[32],"their":[33],"upper":[34],"bodies.":[35],"When":[36],"posture":[39,43,69],"such":[41],"robots,":[42],"estimation":[44,70,73,100,145],"IMU":[46],"and":[47,86,113],"gyroscopic":[48],"sensors":[49],"as":[50],"in":[51,92,142],"case":[53],"drones":[55],"is":[56,80,110,114],"affected":[57],"noise":[60],"generated":[61],"unevenness":[64],"ground,":[67],"making":[68],"difficult.":[71],"Pose":[72],"deep":[75,105],"learning":[76,106],"from":[77],"images":[79,109],"one":[81],"solution":[82],"to":[83,119],"these":[84],"problems,":[85],"various":[87],"studies":[88],"have":[89],"been":[90],"conducted":[91],"past.":[94],"However,":[95],"accuracy":[97,141],"only":[102],"inference":[103,140],"with":[107],"extremely":[111],"poor":[112],"not":[115],"practical.":[116],"order":[118],"solve":[120],"problem,":[122],"paper":[124],"proposes":[125],"OCR,":[135],"which":[136],"ensure":[138],"task.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}